Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/473704
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dc.coverage.spatial
dc.date.accessioned2023-03-31T06:56:40Z-
dc.date.available2023-03-31T06:56:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/473704-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMulti Component Fault Classification and Remaining Useful Life Estimation of Critical Components in a Wind Turbine Gearbox using Machine Learning Approaches
dc.title.alternative
dc.creator.researcherPraveen, Hemanth Mithun
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.note
dc.contributor.guideRajasekharan, Sabareesh Geetha
dc.publisher.placePilani
dc.publisher.universityBirla Institute of Technology and Science
dc.publisher.institutionMechanical Engineering
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Mechanical Engineering

Files in This Item:
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01_title.pdfAttached File304.9 kBAdobe PDFView/Open
02_prelims pages.pdf1.01 MBAdobe PDFView/Open
03_contents.pdf192.92 kBAdobe PDFView/Open
04_abstract.pdf183.12 kBAdobe PDFView/Open
05_chapter1.pdf7.76 MBAdobe PDFView/Open
06_chapter2.pdf15.01 MBAdobe PDFView/Open
07_chapter3.pdf15.23 MBAdobe PDFView/Open
08_chapter4.pdf14.06 MBAdobe PDFView/Open
09_chapter5.pdf6.75 MBAdobe PDFView/Open
10_chapter6.pdf13.63 MBAdobe PDFView/Open
11_chapter7.pdf281.43 kBAdobe PDFView/Open
12_appendix.pdf9.76 MBAdobe PDFView/Open
80_recommendation.pdf2.04 MBAdobe PDFView/Open


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